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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

43301 - 43310 von 43711
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Artikel 43301 Using Machine Learning Methods to Develop an Algorithm for Recognizing a Risk of Waterspout Occurrence off the Black Sea Coast of Russia
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 363-369
Online Ressource
Artikel 43302 Using machine learning methods to predict 28-day mortality in patients with hepatic encephalopathy
Enthalten in BMC gastroenterology Bd. 23, 6.4.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 43303 Using machine learning methods to predict electric vehicles penetration in the automotive market
Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 43304 Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
Enthalten in BMC medical informatics and decision making Bd. 20, 2.10.2020, Nr. 1, date:12.2020: 1-10
Online Ressource
Artikel 43305 Using Machine Learning Methods to Predict the Ductile-to-Brittle Transition Temperature Shift in RPV Steel Under Different Pulse Current Parameters
Enthalten in Acta metallurgica Sinica / English letters Bd. 38, 24.4.2025, Nr. 6, date:6.2025: 1029-1040
Online Ressource
Artikel 43306 Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC)
Enthalten in Optical memory and neural networks Bd. 30, 29.12.2021, Nr. 4, date:10.2021: 291-297
Online Ressource
Artikel 43307 Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
Enthalten in Scientific reports Bd. 13, 22.12.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 43308 Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis
Enthalten in BMC pediatrics Bd. 25, 24.5.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 43309 Using machine learning models to improve stroke risk level classification methods of China national stroke screening
Enthalten in BMC medical informatics and decision making Bd. 19, 10.12.2019, Nr. 1, date:12.2019: 1-7
Online Ressource
Artikel 43310 Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia
Enthalten in BMC pulmonary medicine Bd. 24, 1.7.2024, Nr. 1, date:12.2024: 1-9
Online Ressource


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